We present a resource allocation perspective to Quality of Service in Distributed Virtual

Environments. The user of a DVE system will have improved Quality of Service if he/she

is allocated the right amount of resources at the right time. Instead of allocating resources

on a static basis, we adopt a dynamic need based resource allocation scheme that provides real-time resource allocation. Optimal resource assignments are calculated o2ine and a neural network is trained with the knowledge of optimal solutions from the o2ine Operations Research Techniques and it is then used to deliver near-optimal resource allocation decisions in real-time. We also present a case study of network bandwidth allocation and prove the usefulness of the technique.